ZHU Xiang-lin;YUE Hai-dong;SUN Mi;School of Electrical and Information Engineering,Jiangsu University;Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences;In order to solve the problem that crucial biological variables(such as biomass concentration,glucose concentration and so on) in low-temperature alkaline lipase are difficult to online real-time detect,a modeling method based on the weighted least squares support vector machine(WLS-SVM) within the Bayesian evidence framework is proposed.First,nonlinear modeling of biological variables is analyzed,and the auxiliary variables of the soft sensor model are determined.Then,training samples are used to train the least squares support vector machine,during the training process,the models of the optimal weight vectors,the optimal regularization parameter and the optimal kernel parameter can be found through three-layer Bayesian evidence.To improve the robustness of the model,the weighted coefficients are calculated according to the error variables.The WLS-SVM model which can predict biological parameters accurately in the process of fermentation is established.Comparison of the conventional LS-SVM model in test simulation,results show that the WLS-SVM based on Bayesian inference has features of high prediction precision,good generalization ability,and rapid calculation. 【Fund】： 国家\"863”计划项目(2011AA09070301);;吉林省重大科技攻关专项(20140203005SF) 【CateGory Index】： TQ925.6;TP18 Download(CAJ format) Download(PDF format) CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format. GAO Xue-jin1,WANG Pu1,QI Yong-sheng1,2,YAN Ai-jun1,ZHANG Hui-qing1,GONG Yan-jie1(1.College of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124,China;2.College of Information Engineering,Inner Mongolia University of Technology,Huhhot Inner Mongolia 010051,China);Comparison Studies of LS_ SVM and SVM on Modeling for Fermentation Process[J];Journal of Beijing University of Technology;2010-01 YANG Qiang-da~a,WANG Fu-li~(a,b),CHANG Yu-qing~(a,b)(a.School of Information Science and Engineering,b.Key Laboratory of Integrated Automation of Process Industry of Ministry of Education,Northeastern University,Shenyang 110004,China.);Soft sensor of biomass based on improved BP neural network[J];Control and Decision;2008-08 HAO Jian-hua,SHENG Jun,SUN Mi(Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Qingdao 266071,China);Study on batch fermentation kinetics of lipase producing strain marine yeast Bohaisea-9145[J];Science and Technology of Food Industry;2013-10 HUANG Yonghong;SUN Lina;SUN Yukun;ZHU Xianglin;College of Electrical and Information Engineering, Jiangsu University;;Soft Sensor Modeling Based on Biological Variables of Marine Protease Fermentation Process[J];Information and Control;2013-04 WU Xiao-gang, WANG Xu-dong, YU Teng-wei (School of Electrical and Electronic Engineering,Harbin University of Science and Technology,Harbin 150040,China);Estimation of engine output torque based on improved BP neural network[J];Electric Machines and Control;2010-03 WANG Wei1,SU Jing-yu1,2,MA Dong-hui1,2,GUO Xiao-dong1,2,WANG Zhi-tao1,2(1.Institute of Earthquake Resistance and Disaster Reduction,Beijing University of Technology,Beijing 100124,China; 2.College of Architecture and Urban Planning,Beijing University of Technology,Beijing 100124,China);Risk Degree of Earthquake Secondary Geological Hazards Evaluation Method Based on Parameters Optimization of SVC[J];Journal of Beijing University of Technology;2012-10 WANG Zhi-bin;KONG Ya-nan;LIU Yong-cheng;ZHANG Qian;School of Electrical Engineering,Yanshan University;;Prediction of junction temperature for high power LED by optimizing BP neural network based on genetic algorithm[J];Journal of Optoelectronics.Laser;2014-07 WU Yao,LUO Xionglin,YUAN Zhihong (Research Institute of Automation,China University of Petroleum,Beijing 102249,China);Soft sensor modeling with dynamic interpolation neural network for multirate system[J];Chemical Industry and Engineering Progress;2009-08 LIU Yao-meng,MA Yong-jun,YANG Mei-yan School of Computer Science and Information Engineering,Tianjin University of Science Technology,Tianjin 300222,China;Research on fermentation process modeling of improved Elman neural network[J];Computer Engineering and Applications;2009-32 Huang Li1,Sun Yukun2,Huang Yonghong1,Ji Xiaofu1,Wang Bo1(1.School of Electrical and Information Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China;2.Nanjing Institute of Technology,Nanjing,Jiangsu 211167,China);Soft sensor modeling of fermentation process based on PSO-ANN inversion[J];Journal of Jiangsu University(Natural Science Edition);2012-03 LIU Guo-hai,JIANG Xing-ke,MEI Cong-li(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China.);Research on soft sensing method based on continuous hidden Markov model in fermentation process[J];Control and Decision;2011-11 HUANG Li1,SUN Yukun2,JI Xiaofu1,MA Changhua1,QIU Yi1(1.School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China; 2.Nanjing Institute of Technology,Nanjing 211167,China);Soft-sensing method based on PSO-FNN inversion in penicillin fermentation process[J];Journal of Nanjing University of Technology(Natural Science Edition);2011-06 LIU Yan-ju;ZHOU Guang;Institute of Information Engineering Shen yang Li gong University;;Grain Monitoring Model based on BP Neural Network[J];Control Engineering of China;2013-04 Fang Zhenyong You Wenhu Feng Rupeng(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China);Application of improved BP algorithm in fuzzy neural networks[J];Journal of Beijing University of Aeronautics and Astronautics;2007-11 WANG Bo,SUN Yu Kun,HUANG Yong Hong (School of electrical and information engineering of JiangSu University,Zhenjiang 212013,China);Intelligent biology fermentation fuzzy control system based on ARM7[J];Application of Electronic Technique;2008-03 Li Hongjun Qin Yongsheng Xu Yongmao (Department of Automation,Tsinghua University,Beijing,100084);Data Reconcilliation and Gross Error Detection in Chemical Process[J];CONTROL AND INSTRUMENTS IN CHEMICAL INDUSTRY;1997-02 WANG Yujing 1, ZHANG Manping 1, SUN Mi 2, WANG Yuejun 2,XIE Hongguo 3, CHEN Chunguang 3(1. College of Chemistry and Chemical Engineering, Ocean Universityof China, Qingdao 266003;2. Open Laboratory of Mmarine Eenzyme Enzyme Eengineering,Yellow Sea Fisheries Research Institute,Qingdao 266071;3. Qingdao University of Science and Technology, Qingdao 266042);THE CHEMICAL CHARACTERISTICS OF MARINE LOW-TEMPERATURE ALKALINE PROTEASE(YS-80-122)[J];Transaction of Oceanology and Limnology;2004-01 SUN Mi 1 WANG Yue jun 1 ZHANG Yun bo 1 HONG Yi guo 2 YAN Xiao ling 1 CHEN Yu zhen 1 WANG Chun bo 3 LIU Xiao ping 3 ( 1Open Laboratory of Marine Enzyme Enzyme Engineering,Yellow Sea Fisheries Research Institute, Qingd;Study on isolation and culture condition of one marine bacterium YS 9412 130 producing low temperature alkaline protease[J];Marine Fisherries Reseach;2000-04 SUN Mi 1 WANG Yue jun 1 LI Min 2 ZHANG Yun bo 1 HONG Yi guo 1 YAN Xiao ling 1 ( 1Open Laboratory of Marine Enzyme Enzyme Engineering, Yellow Sea Fisheries Research Institute, Qingdao 266071) ( 2Shanghai Research C;Kinetic model of low-temperatue alkaline protease fermentation process from Flavobacterium YS-9412-130[J];Marine Fisherries Reseach;2001-03 LIU Zhao-hui1,2,CHEN Yun3,QI Wei1,WANG Kang1,HE Zhi-min1(1.School of Chemical Engineering and Technology,Tianjin University,Tianjin 300072,China;2.Postdoctoral Programme,Tianjin Teda Environment Protection Company,Ltd.,Tianjin 300350,China;3.Tianjin Institute of Scientific and Technical Information,Tianjin 300074,China);Kinetics of neutral β-mannanase batch fermentation[J];Chemical Engineering(China);2008-10 QI Zhi-dong~1, ZHU Xin-jian~1, ZHU Wei-xing~2 (1.Department of Automation, Fuel Cell Institute, Shanghai Jiaotong University, Shanghai 200030,China; 2.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang Jiangsu 212013,China);Integrated Optimization of Neuro-fuzzy Controller Based on Fuzzy Genetic Algorithm[J];Computer Simulation;2004-06 WANG Xiao-yi,LIU Zai-wen,QI Jie,LIAN Xiao-feng (School of Information Engineering,Beijing Technology and Business University,Beijing 100037,China);On Intelligent Optimization Control Method for Sewage Water Treatment[J];Control Engineering of China;2008-04 WANG Xudong and SHAO Huihe(Research Institute of Automatic Control .Shanghai Jiaotong University. Shanghai, 200030,PRC);Nonlinear System Modeling Using the Radial Basis Function Neural Networks[J];CONTROL THEORY APPLICATIONS;1997-01